Dong‐Gi Mun
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
-
- Metabolomics and Mass Spectrometry Studies
- Glycosylation and Glycoproteins Research
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Glycosylation and Glycoproteins Research 5
- Genomics and Phylogenetic Studies 3
- Spectroscopy 21
- Advanced Proteomics Techniques and Applications 20
- Mass Spectrometry Techniques and Applications 16
- Analytical Chemistry and Chromatography 4
- Co-authors
- Sang‐Won Lee (15 shared papers)Akhilesh Pandey (22 shared papers)Hokeun Kim (10 shared papers)Mayank Saraswat (5 shared papers)Anil K. Madugundu (6 shared papers)Hangyeore Lee (5 shared papers)Su‐Jin Kim (3 shared papers)Patrick M. Vanderboom (3 shared papers)
- Journals
- Analytical Chemistry (5 papers)Journal of Proteome Research (5 papers)The Analyst (3 papers)PROTEOMICS (3 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Dong‐Gi Mun
32 papers receiving 439 citations
Peers
Comparison fields: 5 of 78
- Spectroscopy 176
- Molecular Biology 252
- Infectious Diseases 60
- Cell Biology 51
- Cancer Research 32
Countries citing papers authored by Dong‐Gi Mun
This map shows the geographic impact of Dong‐Gi Mun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dong‐Gi Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Gi Mun more than expected).
Fields of papers citing papers by Dong‐Gi Mun
This network shows the impact of papers produced by Dong‐Gi Mun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dong‐Gi Mun. The network helps show where Dong‐Gi Mun may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong‐Gi Mun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 44 | |
| 2 | 2021 | 43 | |
| 3 | 2016 | 37 | |
| 4 | 2015 | 28 | |
| 5 | 2021 | 23 | |
| 6 | 2014 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2018 | 18 | |
| 11 | 2015 | 16 | |
| 12 | 2016 | 15 | |
| 13 | 2012 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2011 | 13 | |
| 17 | 2014 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2024 | 8 | |
| 20 | 2024 | 8 |
About Dong‐Gi Mun
Dong‐Gi Mun is a scholar working on Molecular Biology, Spectroscopy, Oncology, Infectious Diseases and Surgery, having authored 35 papers that have together received 443 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (16 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Glycosylation and Glycoproteins Research (5 papers), Analytical Chemistry and Chromatography (4 papers), Genomics and Phylogenetic Studies (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Spectroscopy (176 citations), Molecular Biology (252 citations), Infectious Diseases (60 citations), Cell Biology (51 citations) and Cancer Research (32 citations). Dong‐Gi Mun has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Sang‐Won Lee, Akhilesh Pandey, Hokeun Kim, Mayank Saraswat, Anil K. Madugundu, Hangyeore Lee, Su‐Jin Kim, Patrick M. Vanderboom, Jingi Bae and Sandip Chavan. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, The Analyst, PROTEOMICS and Molecular & Cellular Proteomics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.